When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... You will support the Tier 2 engineering application suite for our Consumer and Business customers. When these applications perform well, they are an important part of the overall customer experience. You will work closely with stakeholders to streamline operations and monitor the health and performance of the application suite. The solutions you implement will help meet our customer’s needs and make it easy for them to do business with us. Developing and implementing AIOps enabled processes for maximizing operational efficiency, profitability, and key application throughput measures. Establishing AI driven operations process by enabling solutions of smart workflows, ML based Issue triage, and self healing solutions. Driving the engineering team to AIML Models for NLP, Anomaly detection, issue similarity detection, building training analyzers, and auto fix solutions with Knowledge Graph driven Business rules, etc. Developing and enhancing AIML solutions to automate the day-to-day support activities and helping the operations team improve their productivity with intelligent solutions that will auto triage the problems and recommend solutions. Establishing AI enabled operations and driving the engineering to build intelligent monitoring and self healing solutions Developing and implementing best practices and procedures to enhance business growth. Suggesting and implementing new proposals and technology to enhance business productivity including automation, process enhancements, business enhancements, and policy changes. Collaborating with functional units of an organization to develop and integrate new or existing services. Managing Application engineering services to ensure they meet client/customer expectations and requirements. Developing reporting metrics for the application and trending of the tickets. Establishing MLOps and deployment processes for deploying the AIML models. Building and maintaining positive trust relationships with key stakeholders across IT and Frontline teams. Ensuring IT Field operations comply with all local and federal labor laws and legislations. Working on work shifts to ensure efficient operations. Performing code analysis, static code tools usage, and any additional tools to produce good quality code. Implementing nonfunctional requirements - performance, scalability, reliability, extensibility, etc. Providing recommendations on servers, load balancing, high availability, disaster recovery, and storage architectures, and End to End analysis and Design responsibilities Analyzing architecture, relationships between systems, and system flows. Guiding others to assess system usage trends and identify potential performance and intersystem flaws. Evaluating solutions alignment and end user experience. Where you'll be working... In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager What We’re Looking For... You’ll need to have: Bachelor's degree or six or more years of work experience. Six or more years of relevant work experience in L1 and L2 support models. Three or more years of experience in AIOps, and MLOps areas. Experience in leading AIML teams establishing AIOps process from foundations Experience in driving solution development teams using technologies like RAG, Airflow, OpenSearch, and Knowledge Graphs. Experience in Java and Python technology stack. Experience in building LLM/SLM based solutions and chatbots. Hands on experience with core Python AIML libraries and building AIML models for NLP and predictive AI Experience in handling the CICD pipelines for AIML Models. Two or more years of experience in DevSecOps with cloud exposure. Experience with AWS & ELK technology stack. Experience with Kubernetes, GraphQL, and Spring reactive services. Even better if you have one or more of the following: A Master's degree. Ability to multi-task and succeed in a fast paced, dynamic work environment. The ability to quickly debug application problems and provide short and long-term solutions. Experience in dealing with Java based systems at an enterprise level. Ability to interact and communicate successfully with business partners and technology teams. A telecom domain operational tools working knowledge. Ability to understand the given problem statement and provide solutions with future focused technology selection. Ability to design and implement solutions with ease of use. Experience in working with cross-functional teams and projects. The ability to guide and develop intuitive user interfaces for Operation tools. Knowledge of Java, Spring Boot, Microservices applications, and the ability to troubleshoot customer experience incidents with relative ease. Strong critical thinking and problem solving skills. Strong business acumen and organizational skills. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Role Summary Leverage technical AI/ML/data science to guide critical decision-making processes in support of scientific and drug development strategies. Collaborate with key stakeholders, business partners, and research teams to understand business problem, and implement new methods and techniques to solve novel problems Lead cross functional projects / PoCs Role Responsibilities Work closely with global and regional teams to apply AI/ML innovative solutions to business problems and deliver on improving efficiencies in areas of drug development, e.g. in drug discovery, clinical trials, operational efficiencies Translate business requirements into tangible solution specifications and high quality, on time deliverables Work with internal and external partners to propose new solutions for solving novel problems Lead cross functional projects to either implement existing solutions, or identify and create new solutions to solving problems in drug development Support business process excellence by implementing, and creating new processes and pipelines Support and lead ongoing technology evaluation process and cross functional proof of concept projects Represent AQDS functions on cross-functional teams Evangelize the use of AI/ML techniques, both internally and externally Basic Qualifications Advanced degree (Masters, PhD) in Computer Science, Data Science, Computation Biology, Statistics, or related field 8 - 10 yrs. of relevant experience for Masters level, Ph.D. with 3-5 years of experience Python or R fluency Ability to lead AI/ML/data science pipeline including the various steps of data retrieval, cleaning, analysis/modeling, application of AI algorithms through to production Expertise with standard supervised and unsupervised machine learning approaches Advanced verbal and written communication skills in relating to colleagues and associates both inside and outside the organization. Ability to influence stakeholders when leading cross-functional projects Preferred Qualifications Ability to complement the team with new approaches such as Agentic AI, RAGs, LLMs, network analysis, knowledge graphs, graph neural networks, etc. would highly desired Experience working in scalable computing would be a valuable supplement (AWS, Spark, Kubernetes, etc.) Experience in data visualization, user interfaces (Flask, Shiny, etc.), data pipelines and MLOps are a plus Knowledge of pharmaceutical area and chemistry/biology familiarity Physical/Mental Requirements Knowledge of state-of-the-art technologies and tools for AI/ML/Data Science/ Data Analytics/Statistics /; able to evaluate and leverage them into improved business processes for deployment and adoption Expertise in some of the above mentioned tools/technologies ORGANIZATIONAL RELATIONSHIPS Works within DSA functional lines (Statistics, SDSA) and with functions in GPD Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Medical Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... You will support the Tier 2 engineering application suite for our Consumer and Business customers. When these applications perform well, they are an important part of the overall customer experience. You will work closely with stakeholders to streamline operations and monitor the health and performance of the application suite. The solutions you implement will help meet our customer’s needs and make it easy for them to do business with us. Developing and implementing AIOps enabled processes for maximizing operational efficiency, profitability, and key application throughput measures. Establishing AI driven operations process by enabling solutions of smart workflows, ML based Issue triage, and self healing solutions. Driving the engineering team to AIML Models for NLP, Anomaly detection, issue similarity detection, building training analyzers, and auto fix solutions with Knowledge Graph driven Business rules, etc. Developing and enhancing AIML solutions to automate the day-to-day support activities and helping the operations team improve their productivity with intelligent solutions that will auto triage the problems and recommend solutions. Establishing AI enabled operations and driving the engineering to build intelligent monitoring and self healing solutions Developing and implementing best practices and procedures to enhance business growth. Suggesting and implementing new proposals and technology to enhance business productivity including automation, process enhancements, business enhancements, and policy changes. Collaborating with functional units of an organization to develop and integrate new or existing services. Managing Application engineering services to ensure they meet client/customer expectations and requirements. Developing reporting metrics for the application and trending of the tickets. Establishing MLOps and deployment processes for deploying the AIML models. Building and maintaining positive trust relationships with key stakeholders across IT and Frontline teams. Ensuring IT Field operations comply with all local and federal labor laws and legislations. Working on work shifts to ensure efficient operations. Performing code analysis, static code tools usage, and any additional tools to produce good quality code. Implementing nonfunctional requirements - performance, scalability, reliability, extensibility, etc. Providing recommendations on servers, load balancing, high availability, disaster recovery, and storage architectures, and End to End analysis and Design responsibilities Analyzing architecture, relationships between systems, and system flows. Guiding others to assess system usage trends and identify potential performance and intersystem flaws. Evaluating solutions alignment and end user experience. Where you'll be working... In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager What We’re Looking For... You’ll need to have: Bachelor's degree or six or more years of work experience. Six or more years of relevant work experience in L1 and L2 support models. Three or more years of experience in AIOps, and MLOps areas. Experience in leading AIML teams establishing AIOps process from foundations Experience in driving solution development teams using technologies like RAG, Airflow, OpenSearch, and Knowledge Graphs. Experience in Java and Python technology stack. Experience in building LLM/SLM based solutions and chatbots. Hands on experience with core Python AIML libraries and building AIML models for NLP and predictive AI Experience in handling the CICD pipelines for AIML Models. Two or more years of experience in DevSecOps with cloud exposure. Experience with AWS & ELK technology stack. Experience with Kubernetes, GraphQL, and Spring reactive services. Even better if you have one or more of the following: A Master's degree. Ability to multi-task and succeed in a fast paced, dynamic work environment. The ability to quickly debug application problems and provide short and long-term solutions. Experience in dealing with Java based systems at an enterprise level. Ability to interact and communicate successfully with business partners and technology teams. A telecom domain operational tools working knowledge. Ability to understand the given problem statement and provide solutions with future focused technology selection. Ability to design and implement solutions with ease of use. Experience in working with cross-functional teams and projects. The ability to guide and develop intuitive user interfaces for Operation tools. Knowledge of Java, Spring Boot, Microservices applications, and the ability to troubleshoot customer experience incidents with relative ease. Strong critical thinking and problem solving skills. Strong business acumen and organizational skills. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Requirements Description and Requirements Job Details: Excellent verbal, written, and presentation communication Skills Intellectually curious – fast and self-driven learner in areas including new business models, analytical techniques, technical skills, etc. Demonstrated analytical and problem-solving experience Demonstrated strong organizational, time management, prioritization, and coordination skills Ability to self-initiate follow-up, work independently, and adhere to deadlines Ability to build strong stakeholder relationships and foster ownership, innovation, and collaboration within a team Average to advanced proficiency in data analysis and data modeling Advanced analytical thinking Ability to multitask, meet deadlines, and adhere to project timelines. Process mapping or process documentation experience Conduct in-depth data analysis to identify errors and areas for improvement, contributing to the ongoing improvement of the reporting processes. Ability to speak with Senior level stakeholders (Directors, VPs, etc.) Ability to understand client requests and translate them into BI solutions Flexibility to work on ad hoc tasks required by stakeholders Additional Job Description Skills: English B2 - Required Excel advanced - Required Proficiency with MS Office or Google Workspace applications (MS Excel, Google Sheets, Google Data Studio, etc.) with the ability to create charts, graphs, pivot tables, and complex formulas - Required Ability to learn to navigate new tools and dashboards - Required Zendesk, IEX, Verint, Impact 360, or Injixo knowledge - Desirable BPO Center Software (CMS, CISCO, etc.) Tableau, Power Bi - Desirable Statistics, mathematical logic - Required EEO Statement At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent. Equal Opportunity Employer At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. Show more Show less

Job Title: Senior Data Scientist Total Experience: 4Yrs–8+Yrs with 2–3 years of relevant experience. Location: Chennai - Hybrid About the Role: We are seeking an experienced Senior Data Scientist to take part in the development of advanced AI solutions with a strong focus on Generative AI (Gen AI) and LLMs. This role requires detep technical expertise in cutting-edge frameworks such as LangChain, CrewAI, and AutoGen, as well as experience in building full-stack AI systems to production. Key Responsibilities: Architect, design, and implement Gen AI / LLM-based solutions using LangChain, CrewAI, AutoGen. Develop advanced RAG pipelines, structured prompting (e.g., Chain of Thoughts), and implementKnowledge Graphs to enhance AI reasoning Lead full-cycle AI product development, including model training, evaluation, deployment, and CI/CD integration for scalable delivery Work with large and complex datasets, performing preprocessing, feature engineering, and web scraping where required Build and maintain AI model pipelines and services integrated with Vector DBs, Graph DBs, and BigData platforms. Utilize cloud-based AI offerings (Azure AI Services, AWS Bedrock, GCP Vertex AI) for deploying scalable and secure AI products Collaborate cross-functionally with engineering, product, and domain experts to translate business needs into AI solutions Stay updated on the latest AI technologies and best practices. Must-Have Skills: Core AI Capabilities Gen AI, LLMs (OpenAI, Cohere, Claude, etc.), Agentic AI, Prompting, Chain of Thoughts LangChain, CrewAI, AutoGen, Advanced RAG technics Knowledge Graph design and implementation Strong Python and SQL programming AI Product C Deployment End-to-end AI product development lifecycle Model deployment, evaluation, CI/CD pipeline automation Web scraping and classic ML/NLP model development and validation Databases Vector DBs, Graph DBs, BigData platforms etc. Cloud Integration Azure AI Services, AWS Bedrock, GCP AI models Cloud-native AI deployments using managed services Good-to-Have Skills: Model governance and benchmarking frameworks Experience with Streamlit or similar tools for rapid prototyping Knowledge of Time Series forecasting and signal-based modeling Domain expertise or project experience in: Healthcare, Automotive, Retail, Oil C Gas Show more Show less

About the Role The Reporting Analyst III/ HR Operations is a key member of the GenAI Crowdsourcing Team, responsible for developing and maintaining reporting dashboards and contributing to projects aimed at optimising the performance management of Crowdsourcing team members. Responsibilities Requirements Analysis : Understand and analyse business needs to define reporting solutions. Assessment & Planning : Contribute to planning activities and assess reporting needs. Data Model Design : Develop robust data models to support reporting requirements. Solution Building : Create dashboards and reports that provide actionable insights. Risk Assessment & Mitigation : Identify risks and implement manual or automated mitigation measures. Testing : Perform functional unit and User Acceptance Testing (UAT) to ensure data accuracy and functionality. Data Gathering : Extract, process, and transform data into consumable outputs aligned with requirements. Documentation : Create process documentation and user guides for reporting solutions. Troubleshooting & Support : Provide end-user support, resolve issues, and escalate as necessary. Continuous Alignment : Ensure reporting scope aligns with program or account requirements. Requirements Experience : Minimum of 1-year experience in recruitment operations, with a focus on data analytics using tools like Google Sheets, Google Data Studio, MS Excel, Sisense, etc. (Desirable). Background in recruiting metrics (Preferred). Education : Bachelor’s degree in any discipline (Preferred: advanced degree or specialization in Analytics, Statistics, Mathematics, or relevant data analytics experience). Technical Proficiency : Advanced knowledge of Google Workspace or MS Office applications for data analysis, including charts, graphs, pivot tables, and complex formulas. Familiarity with Looker Studio and the ability to translate client requests into actionable solutions. Language Skills : Proficiency in English (B2 level or higher). Skills Communication : Strong verbal, written, and presentation skills. Analytical Thinking : Demonstrated problem-solving and analytical expertise. Time Management : Strong organisational and prioritization skills, with the ability to meet deadlines. Stakeholder Engagement : Ability to build strong relationships and foster collaboration. Self-Driven : Ability to independently follow up and deliver results. Technical Learning : Fast learner with the ability to quickly adapt to new tools and business models. Show more Show less

Designation: Data Analyst Job Description: Collect, process, and analyze data from internal systems (UMS, LMS, HRMS, Finance, Admissions, etc.) for daily, weekly, and monthly reports. Create and maintain dashboards for real-time tracking of academic performance, admissions, attendance, placement, and fee status. Generate reports, graphs, and visualizations to support institutional reviews, audits, and leadership decision-making. Collaborate with Registrar’s Office, Academics, Finance, HR, and other departments to assess data needs and improve data utilization. Handle ad-hoc data queries, urgent insights, and special reporting requests from leadership. Qualification & Skill Required: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, Economics, or related field. Minimum 2 years of professional experience in data analysis, preferably in an educational or institutional setting. Proficient in Microsoft Excel (Advanced), Power BI, Tableau, and SQL; Python or R is a plus. Good interpersonal skills and ability to work across departments collaboratively. Job Location: Singtam, Sikkim Work Mode: In office/On-site About Medhavi Skills University: Medhavi Skills University (MSU) is a government-notified private skills university established under a State Act in Sikkim, dedicated to promoting quality skill education and entrepreneurship integrated with higher education. As a pioneering institution in the convergence of the skilling ecosystem with higher education, MSU aligns with the National Education Policy, 2020 (NEP 2020). Recognized by the UGC and established in 2021, MSU collaborates with industries and Skill Development Institutes to offer work-integrated courses, embedding on-the-job internships and training within the curriculum. MSU is a recognized Awarding Body under the National Council for Vocational Education &Training (NCVET) and is empaneled with the Directorate General of Training (DGT). As an anchor university partner with the National Skill Development Corporation (NSDC) and the Project Management Unit (PMU) of NSDC International, MSU is committed to preparing youth for the future workspace by co- working with industry partners to design and implement demand-driven programs. For more information, visit https://msu.edu.in/ Job Type: Full-time Pay: ₹300,000.00 - ₹500,000.00 per year Schedule: Day shift Work Location: In person

Experience: 0-3 Years Role Overview We’re seeking an AI Solutions Engineer to lead the integration of GenAI tools— such as ChatGPT or Claude—into our core platform. You’ll design, prototype, and deploy features that elevate student outcomes, make teaching exciting, and enrich dashboards with intelligent insights, all while upholding privacy and governance standards. Key Responsibilities Design and build GenAI-powered features like guided study assistants, automated remediation engine, and intelligent feedback tools. Develop end-to-end pipelines (prompt design → model integration → CI/CD deployment) that align with Edwisely’s Intelligent Learning Infrastructure. Collaborate with product teams, faculty, and UX designers to deploy AI features in classrooms and dashboards. Ensure all AI implementations meet ISO 27001 security and CERT-In data protection guidelines. Measure adoption and impact via analytics dashboards—support evidence-based learning outcomes. What You’ll Bring Strong in prompt engineering, RAG, embeddings, or QA systems using frameworks like OpenAI API, LangChain, Hugging Face Transformers. Familiarity with ML deployment—FastAPI, Docker, AWS/GCP—within production-grade applications. Experience with education data, knowledge graphs, student modeling, or assessment systems is a big plus. Results-driven: ability to turn prototypes into scalable features. Passionate about improving higher education with impactful, AI-driven solutions. Why Edwisely? Be part of a high-impact EdTech startup, transforming learning journeys of engineering students nationwide. Work with a product that uses AI + analytics to personalize learning, support faculty, and guide institutional decisions . Career growth: define your ownership—architecture, implementation, or research-led product development. Competitive package, fast-paced work culture, and freedom to drive real-world impact. Application Process Submit your CV + GitHub or project links (especially showcasing GenAI integrations or NLP projects). @ satish@edwisely.com Technical interview focusing on applied AI scenarios (prompt design, architecture, pipelines). Work sample task: prototype an AI feature for Edwisely

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: AI Implementation: Implement AI solutions to automate tasks, improve customer experiences, and optimize operations Data Analysis and Interpretation : Analyze large datasets to extract meaningful insights and trends using Python and data science techniques Model Development: Develop, train, and deploy machine learning models to solve business problems and enhance decision-making processes Data Collection and Cleaning: Data Analysts are responsible for gathering data from multiple sources, ensuring its accuracy and completeness. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information. Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets Analysis and Interpretation : One of the primary tasks of a Data Analyst is to analyse data to uncover trends, patterns, and correlations. They use statistical techniques and software such as R, SAS, and Tableau to conduct detailed analyses. The ability to interpret results and communicate findings clearly is crucial for guiding business decisions Reporting and Visualization: Data Analysts create comprehensive reports and visualizations to present data insights to stakeholders. These visualizations, often created using tools like Power BI and Tableau, make complex data more understandable and actionable. Analysts must be skilled in designing charts, graphs, and dashboards that effectively convey key information Collaboration and Communication: Effective collaboration with other departments, such as marketing, finance, and IT, is vital for understanding data needs and ensuring that analysis aligns with organizational goals. Data Analysts must communicate their findings clearly and concisely, often translating technical data into understandable insights for non-technical stakeholders Predictive Modelling and Forecasting: Advanced Data Analysts also engage in predictive modelling and forecasting, using machine learning algorithms and statistical methods to predict future trends and outcomes. This requires a solid understanding of data science principles and familiarity with tools like TensorFlow and Scikit-learn Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience Python Proficiency: Solid knowledge of Python programming, including libraries for data analysis (e.g., Pandas, NumPy) and machine learning (e.g., scikit-learn, TensorFlow, Keras) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Manager - Performance and Reward Operations Business: Human Resource Principal responsibilities Assist with analysis and preparation of information to support the Group team e.g., Material Risk Taker, Compensation data for internal requirements and external reporting, Emoluments. Monitoring team mailboxes and MS teams channels and respond to process related queries. Consolidate data from regional/business submissions, data analysis and manipulation, report generation, MI production to meet operational or regulatory report submissions. To prepare compensation data based on requests received from management and regulators on all aspects of reward as required. Pay review reconciliation and system maintenance for the Executive Compensation population. Exhibit ownership of own work. Requirements Typical qualifications would include a Bachelor’s degree/equivalent experience High proficiency/capability in Microsoft Excel, including advanced experience with formulas, large data set analysis and graphs. Ability to analyze and develop recommendations based on data observed. Proficiency with Employee Central and People Insights reporting. Detail-oriented. Well-developed management, interpersonal, organizational, negotiation, problem-solving and verbal and written communication skills. Effective problem solving and interpersonal skills. Able to organize work, document and report concisely. Ability to perform in high-pressure environment should be effective in a flexible work environment. Ability to build rapport with people. Will be required to maintain confidentiality regarding work. Adaptable and flexible to change. Should be willing to work in rotational shifts. You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

JOB DESCRIPTION :- Exeperience : - Required 2 year. We are seeking a highly skilled Medical Content Writer to join our team. As a writer, you will be responsible for: l Conducting in-depth research to gather reliable and up-to-date medical information from credible sources. l Creating clear, concise, and engaging content for blogs, manuscripts, abstracts, posters, info graphs, visual aids (VA), leave-behind literature (LBL), big reminder card (BRC), slide decks, and related creative’s l Content management on website l Proofreading documents to ensure accuracy and consistency l Collaborating with cross functional teams to enhance creative inputs (visuals, info graphics, videos, etc.) l Participating in meetings and project discussions with clients and internal teams l Pitch creative content ideas to attract and engage the target audience. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: ROC(ROC) Job Category: Credit Analysis & Research Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies: Basic knowledge of financial statements and basic understanding of how data fits into methodologies Ability to read, understand and interpret financial metrics reported by rated entities Strong organizational skills Attention to detail Ability to work effectively in a collaborative team environment Intermediate Microsoft Excel skills Good written and verbal communication skills Good interpersonal skills, interact with team members, direct managers and limited other stakeholders Develop working knowledge of more than one simple project/deliverable with guidance Relevant experience of up to 2 years in credit/financial data analysis and interpretation; experience in structured finance will be an added advantage Education Bachelors/Masters in Finance, Business, Accounting or similar field Responsibilities Perform analysis to support ratings, research, and analytical outreach Apply Moody’s Ratings' standards to existing data to produce valuable inputs into the rating and research process, including Moody's adjusted data, key indicators, ratios, charts, and graphs in line with Moody’s Ratings’ methodologies Perform various data intake tasks, including scrubbing and validating data for further use in research and ratings Review and understand financial reports, official statements, and other documents related to issuers' performance Work directly with ratings and support analysts to understand data capture requirements, adjustments, and other information needed by the rating team for ratings and research Perform simple calculations and apply judgment for other calculations of data Gather data from various sources (sometimes unstructured), update relevant databases, escalate or resolve issues Complete simple deliverables such as newsletters, database maintenance, more complex or high-profile admin or other ad-hoc support with oversight About The Team Our Data & Analytics team is responsible for performing a range of data, analytical and research services that contribute to the overall credit analysis function carried out by the structured finance rating groups. By joining our team, you will be part of exciting work in financial data analysis. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. As Associate Director - AI Science, you will own, drive, and partner on enabling the IT Operations team with AI enabled solutions, and lead a team of Senior Managers delivering these AI Enabled Solutions. You will support the Tier 2 engineering application suite for our Consumer and Business customers. When these applications perform well, they are an important part of the overall customer experience. You will work closely with stakeholders to streamline operations and monitor the health and performance of the application suite. The solutions you implement will help meet our customers’ needs and make it easy for them to do business with us. What You Will Be Doing Developing and implementing AIOps enabled processes for maximising operational efficiency, profitability, and key application throughput measures. Establishing AI driven operations processes by enabling solutions of smart workflows, ML based Issue triage, and self healing solutions. Driving the engineering team to AIML Models for NLP, Anomaly detection, issue similarity detection, building training analysers, and auto fix solutions with Knowledge Graph driven Business rules, etc. Developing and enhancing AIML solutions to automate the day-to-day support activities and helping the operations team improve their productivity with intelligent solutions that will auto triage the problems and recommend solutions. Establishing AI enabled operations and driving the engineering to build intelligent monitoring and self healing solutions Developing and implementing best practices and procedures to enhance business growth. Suggesting and implementing new proposals and technology to enhance business productivity, including automation, process enhancements, business enhancements, and policy changes. Collaborating with functional units of an organization to develop and integrate new or existing services. Establishing ML Ops and deployment processes for deploying the AIML models. Building and maintaining positive trust relationships with key stakeholders across IT and Frontline teams. You will need to have:- Bachelor's degree with Four or more years of experience in IT Operations, and at least 4-5 years hands on experience in AI Ops. Must have at least 6-8 years of experience in leading IT Operations teams, AIOPs, and ML Ops, and delivering AIOPs solutions to support front line employees. Six or more years of relevant work experience in L1 and L2 support models with enablement of IT/Automation Solutions. Experience in leading AIML teams in establishing the AI Ops process from the foundations Experience in guiding a team to build various Business Insights and Analytics Solutions from various data points and sources. Experience in driving solution development teams using technologies like RAG, Airflow, OpenSearch, and Knowledge Graphs. Experience in building/guiding teams to handle AI Ops. Experience in building LLM/SLM and Agentic AI/MCP based solutions implementation Hands on experience with core Python AIML libraries and building AIML models for NLP and predictive AI Experience in handling the CICD pipelines for AIML Models. Two or more years of experience in DevSecOps with cloud exposure. Experience with AWS & ELK technology stack or GCP Cloud Stack. Familiarity with Data Engineering concepts. Even better if you have one or more of the following: Advanced degree in Computer Science, Mathematics or similar field Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement, and model lifecycle best practices A telecom domain operational tools working knowledge. Papers, Patents & Presentations demonstrating competency in AIOPs areas Understanding of Ethical Use of AI If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Company Description Avery Dennison RBIS, a global leader in apparel and footwear industry solutions, is a $1.5 billion division of Avery Dennison (NYSE: AVY). Avery Dennison RBIS provides intelligent, creative and sustainable solutions to elevate brands and accelerate performance from design to retail store floor. The company’s industry leading, end-to-end solutions include innovative heat transfer technology, RFID and price management supply chain solutions and sustainable packaging services. Based in Glendale, California, Avery Dennison RBIS employs 30,000 employees in 50 countries. For more information, visit www.rbis.averydennison.com Job Description ABOUT YOUR ROLE: Procurement Sr finance analysis - Procurement Finance drives the regional analytics on Imported Laminate Prices Inflation/Deflation and deep dive on country landed cost variance analysis.He/ She should have good interpersonal skills to work effectively with Procurement stakeholders to derive effective forecasting on Cost Infl/defl and drive opportunity on cost optimization. YOUR RESPONSIBILITIES WILL INCLUDE: Regional Lead for driving Procurement KPIs across Asia Pacific Region. Planning and Forecasting of Imported Laminate Prices Inflation/Deflation with the Procurement team. Benchmarking and Cost comparison analytics for various cost factors & payable terms across regions. Drive Cost Saving projects from Procurement. Manage Supplier Rebates with Procurement and SCM to ensure maximize results and achieve targets. Leading annual Budgeting & forecasting of Procurement related KPIs from finance. Prepare Standard Cost Update and Deep dive in PPV & Revaluation analysis Provide cost information to businesses with various assumptions to the Product manager for pricing decisions. To ensure the monthly/quarterly closing activities & reporting on time. Look for opportunities to improve the process effectiveness and improvements. Additional Information QUALIFICATIONS: Professional degree ( CA/CMA ) or above with over 5 years of relevant experience, prefer having regional experience Skill in understanding and communicating complex ideas effectively, both orally and in writing. Ability to work well with all levels of organization Proficient in using computers and related software in performing financial job tasks, specifically setting up spreadsheet formulas, linking spreadsheets, extracting data, developing graphs. Eager to learn, self- motivated with strong sense of responsibility ability to handle complex situation Flexibility in balance of working and life Show more Show less

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? NICE provides state-of-the-art enterprise level AI and analytics for all forms of business communications between speech and digital. We are a world class research team developing new algorithms and approaches to help companies with solving critical issues such as identifying their best performing agents, preventing fraud, categorizing customer issues, and determining overall customer satisfaction. If you have interacted with a major contact center in the last decade, it is very likely we have processed your call. The research group partners with all areas of NICE’s business to scale out the delivery of new technology and AI models to customers around the world that are tailored to their company, industry, and language needs. How will you make an impact? Conduct cutting-edge research and develop advanced NLP algorithms and models. Build and fine-tune deep learning and machine learning models, with a focus on large language models. Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives. Develop AI predictive models and perform data and model accuracy analyses. Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders. Develop and maintain scripts/tools to automate both new model production and updates to existing model packages. Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base. Collaborate with developers to design automation and tool improvements for model building. Maintain documentation of processes and projects across all supported languages and environments. Have you got what it takes? Master's degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience Minimum of 8 years of data science work experience, including implementing machine learning and NLP models using real-life data. Experience with Retrieval-Augmented Generation (RAG) pipelines or LLMOps. Advanced knowledge of statistics and machine learning algorithms. Proficiency in Python programming and familiarity with R. Experience with deep learning models and libraries such as PyTorch, TensorFlow, and JAX. Familiarity with relational databases and query languages (e.g., MSSQL) and basic SQL knowledge. Hands-on experience with transformer models (BERT, FlanT5, Llama, etc.) and GenAI frameworks (HuggingFace, LangChain, Ollama, etc.). Experience deploying NLP models in production environments, ensuring scalability and performance using AWS/GCP/Azure Strong verbal and written communication skills, including effective presentation abilities. Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills. You will have an advantage if you also have: Expertise with Big Data technologies (e.g., PySpark). Background in knowledge graphs, graph databases, or GraphRAG architectures. Understanding of multimodal models (text, audio, vision). Experience in Customer Experience domains. Experience with package development and technical writing. Familiarity with tools like Jira, Confluence, and source control packages and methodology. Knowledge and interest in foreign languages and linguistics. Experience working on international, globe-spanning teams and with AWS. Past participation in a formal research setting. Experience as part of a software organization. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID : 7481 Reporting into : Tech Manager Role Type : Individual Contributor About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less

Precedence Research Private Limited is seeking a creative and detail-oriented experienced Graphic Designer to join our dynamic team. The ideal candidate should be well-versed in design principles, software tools, and industry best practices. Role: Full time, On-site Skills & Qualifications: Bachelor’s degree in graphic design, Visual Arts, or a related field (Preferred) 0-6 months of proven experience as a graphic designer or in a similar role. Proficiency in design software such as Adobe Creative Suite (Illustrator, Photoshop) or other industry-standard tools is a must. Strong understanding of design principles, color theory, typography, and layout. Ability to work collaboratively in a team environment and handle multiple projects simultaneously. Hands on experience on MS PowerPoint and MS Office suite. Good English communication is required. Key Responsibilities: Create Designs: Make graphics for websites, social media, ads, brochures, festive posts, birthday posts, industry specific graphs with infographics and more. Maintain Brand Style: Make sure all designs follow the brand’s guidelines. Work with Teams: Collaborate with marketing, content, HR and IT team to create designs that meet our goals. Manage Projects: Handle multiple design projects at once, making sure they are completed on time. Incorporate Feedback: Make changes to designs based on feedback from team members. Stay Updated: Keep up with the latest design trends and tools. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹20,000.00 per month Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. As Associate Director - AI Science, you will own, drive, and partner on enabling the IT Operations team with AI enabled solutions, and lead a team of Senior Managers delivering these AI Enabled Solutions. You will support the Tier 2 engineering application suite for our Consumer and Business customers. When these applications perform well, they are an important part of the overall customer experience. You will work closely with stakeholders to streamline operations and monitor the health and performance of the application suite. The solutions you implement will help meet our customers’ needs and make it easy for them to do business with us. What You Will Be Doing Developing and implementing AIOps enabled processes for maximising operational efficiency, profitability, and key application throughput measures. Establishing AI driven operations processes by enabling solutions of smart workflows, ML based Issue triage, and self healing solutions. Driving the engineering team to AIML Models for NLP, Anomaly detection, issue similarity detection, building training analysers, and auto fix solutions with Knowledge Graph driven Business rules, etc. Developing and enhancing AIML solutions to automate the day-to-day support activities and helping the operations team improve their productivity with intelligent solutions that will auto triage the problems and recommend solutions. Establishing AI enabled operations and driving the engineering to build intelligent monitoring and self healing solutions Developing and implementing best practices and procedures to enhance business growth. Suggesting and implementing new proposals and technology to enhance business productivity, including automation, process enhancements, business enhancements, and policy changes. Collaborating with functional units of an organization to develop and integrate new or existing services. Establishing ML Ops and deployment processes for deploying the AIML models. Building and maintaining positive trust relationships with key stakeholders across IT and Frontline teams. You will need to have:- Bachelor's degree with Four or more years of experience in IT Operations, and at least 4-5 years hands on experience in AI Ops. Must have at least 6-8 years of experience in leading IT Operations teams, AIOPs, and ML Ops, and delivering AIOPs solutions to support front line employees. Six or more years of relevant work experience in L1 and L2 support models with enablement of IT/Automation Solutions. Experience in leading AIML teams in establishing the AI Ops process from the foundations Experience in guiding a team to build various Business Insights and Analytics Solutions from various data points and sources. Experience in driving solution development teams using technologies like RAG, Airflow, OpenSearch, and Knowledge Graphs. Experience in building/guiding teams to handle AI Ops. Experience in building LLM/SLM and Agentic AI/MCP based solutions implementation Hands on experience with core Python AIML libraries and building AIML models for NLP and predictive AI Experience in handling the CICD pipelines for AIML Models. Two or more years of experience in DevSecOps with cloud exposure. Experience with AWS & ELK technology stack or GCP Cloud Stack. Familiarity with Data Engineering concepts. Even better if you have one or more of the following: Advanced degree in Computer Science, Mathematics or similar field Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement, and model lifecycle best practices A telecom domain operational tools working knowledge. Papers, Patents & Presentations demonstrating competency in AIOPs areas Understanding of Ethical Use of AI If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

ECI is the leading global provider of managed services, cybersecurity, and business transformation for mid-market financial services organizations across the globe. From its unmatched range of services, ECI provides stability, security and improved business performance, freeing clients from technology concerns and enabling them to focus on running their businesses. More than 1,000 customers worldwide with over $3 trillion of assets under management put their trust in ECI. At ECI, we believe success is driven by passion and purpose. Our passion for technology is only surpassed by our commitment to empowering our employees around the world . The Opportunity: The Power BI Developer will be responsible for providing analytics to a wide range of functional teams at ECI by overseeing the development and deployment of Power BI reports and underlying datasets. This person will lead projects to bring and enhance visibility into key enterprise metrics and drive action based on the resulting insights. The successful candidate should be skilled at asking probing questions for clarity and be able to explain difficult concepts to non-technical audiences. This role requires expert proficiency in writing complex SQL queries that include KPIs critical to company objectives. The ideal candidate is a motivated, detail-oriented individual who is equally comfortable with back-end data structures, visualization, and storytelling. This is an Onsite role. What you will do: Design, develop and maintain dashboards and interactive reports using Power BI. Responsible for interfacing directly with stakeholders to efficiently define requirements and support their business objectives. Leverage SQL expertise to produce datasets that align with business objectives. Configure reporting library to be run on automated refresh schedules using gateways. Define and design new systems by analyzing ETL processes. Convert business requirements into technical specifications to determine level of effort. Use filters and graphs to provide a better understanding of report data. Coordinate and assist with user acceptance testing, conduct demos, participate in stakeholder reviews, as well as assume the role of post-release subject matter expert. Be accountable and adhere to a high standard of ensuring accurate, consistent and reliable data; Monitor dataset refresh schedules and ensuring no failures. Maintain SharePoint knowledge base documentation related to solution requirements, data flow diagrams, business glossary and data lineage. Create scheduled jobs that create snapshots required for trending analysis. Collaborate with team Reporting product owner and business analyst to help define roadmap. Data Analysis: Proven track record of analyzing large datasets and extracting meaningful insights from them. Statistics and Databases: Firm understanding of statistics and databases to be able work with data effectively. Problem Solving: Ability to identify problems and develop solutions that can help the org achieve its goals. Communication: Strong communication skills to be able to explain complex data insights to non-technical stakeholders. Collaboration: Ability to work effectively with cross-functional teams and collaborate with other departments to achieve common goals. Change Management: experience creating reports in a sandbox before pushing to Production. Dedicated to innovation of existing operational processes. Ability to effectively prioritize and negotiate tradeoffs with stakeholders. Proficiency with ETL methodologies & syncing data across disparate systems. Who you are: Minimum 7+ years writing complex queries in SQL. Minimum 5+ years building reporting solutions using Power BI. Education/Experience: College diploma or university degree in the field of computer science, information science, management information systems, or business ambience and building analytic solutions. Skilled in developing a comprehensive portfolio of reporting tools that encompass a broad spectrum of metrics. Proven experience in writing queries and constructing reports that highlight key performance indicators (KPIs) for the company. Experience navigating large datasets. Highly skilled in identifying data trends. Experience applying statistical techniques to understand and quantify the relationships between metrics to help differentiate between correlation and causation. Demonstrated ability to perform in fast-paced environment with a focus on a superior customer experience. Proactive approach to workload with a strong attention to detail and ability to perform self QA of completed work. Proficient in working both independently and as part of a team. Bonus points if you have: Experience with reporting from ServiceNow, Salesforce, or accounting databases is a plus. ECI’s culture is all about connection - connection with our clients, our technology and most importantly with each other. In addition to working with an amazing team around the world, ECI offers a competitive compensation package and so much more! If you believe you’d be a great fit and are ready for your best job ever, we’d like to hear from you! Love Your Job, Share Your Technology Passion, Create Your Future Here! Show more Show less

Are you skilled at transforming complex concepts into clear, engaging presentations that drive informed decision-making? Interested in working alongside a supportive, collaborative team that values innovation and teamwork? Looking to grow your career with a globally recognized company that is celebrated as a great place to work? Practical Information : Location: Bangalore, India | Reports to: Director & Chief of Staff | Visa Requirements: Valid working visa for India | Language Requirements: Professional English, written and verbal | Work Arrangement: Hybrid | Learn more: www.crayon.com/in As our new Business Support Executive, you will facilitate strategic communication and business growth within Crayon India. This role involves analytical thinking, creativity, and collaboration to develop clear and engaging business presentations and proposals. Working with technical teams, sales, and leadership, you will help communicate complex information in a simple and effective way. The role requires attention to detail, brand alignment, and the ability to manage multiple projects while meeting deadlines in a dynamic environment. Other responsibilities will include: Create visually engaging presentations or proposals while ensuring brand consistency Develop professional presentations using PowerPoint, Power BI, and other tools Work with marketing, sales, and leadership to align content with business goals Design charts, graphs, and visuals to simplify complex information Manage multiple projects, meeting deadlines and quality standards Your Competencies: Bachelor’s degree in Marketing, Design, or a related field Skilled in graphic design, data visualization, and storytelling; Power BI is a plus Proficient in Microsoft Office especially Excel, PowerPoint, and Adobe Creative Suite Experience in creating presentations through work or business school projects About You: You pay close attention to detail and maintain brand consistency You communicate effectively and collaborate well with others You take an analytical approach to data to support informed decision making What's in it for you: Medical, and life insurance Hybrid workplace Internet & Mobile reimbursement Upskilling through certifications and training Employee Share Program At Crayon, we are deeply committed to fostering a culture of diversity, equity, inclusion, and belonging (DEIB). We believe that diversity in all its forms strengthens our team and enhances innovation and effectiveness. We welcome applications from individuals of all backgrounds, regardless of race, color, age, origin, religion, sexual orientation, gender (identity), genetic information, neurodiversity, disability, or any other basis protected by local laws and regulations. When filling vacancies, we prioritize equally qualified candidates who bring diverse backgrounds and experiences, helping to enrich our team dynamics and foster a vibrant, inclusive work environment. If you require any assistance or reasonable accommodation during the application process, please let us know. Apply to join an award-winning employer! Show more Show less

Key Responsibilities Interact with all areas of CX including, but not limited to Client Services, Service Operations, Implementation Services, Adjudication Partnership, Learning Services, Platform Integration and Product Management as a shared CX resource. Gather reporting requirements for all CX areas (noted above) and document the “as is” processes for gathering, reviewing, synthesizing and presenting reportable data; this will require coordination between teams. Gather and analyze critical business process and reporting details and propose recommendations based upon the data gathered and current and future state departmental needs. Translate departmental requirements into actionable measurement and deliver reporting tools and process documentation that are clearer, more detailed and more complete; this could involve a translation of existing requirements along with the determination and development of new requirements. Serve a key participative role in the future, “to be” development efforts; recommend efficiencies in reporting and processes that could include, but not limited to, reporting cadence, data capture, data presentation, process modification, technology enhancements, efficiency measurements, etc., Collaborate with CX leadership to determine areas of upstream and/or downstream impact that may cause variances in reporting or processes. Provide verbatim commentary on data to identify trends, positive or negative, along with evidentiary data supporting and/or explaining these trends including influence from collaborating departments within or outside of CX. Communicate reporting and process discrepancies to leadership and Training & QA to encourage internal problem-solving and overall alignment. Collaborate with reporting and/or process counterpart to ensure process and reporting alignment through the CX areas. Review processes on a regular and timely basis to determine whether they are up-to-date with internal Zelis and external industry standards. Develop a communication strategy and/or cadence to help inform the leading indicators of trends or potential issues by developing baseline measurements and identifying where there is a deviation. Ensure that all reporting complies with state and federally mandated legislation relevant to our business (e.g., HIPAA and other data protection requirements). Collaboration to ensure that any needed learning resources are properly generated and that potential reporting changes align with QA conditions while also compiling data to inform associate performance metrics to generate KPI measurements. Embrace an environment of continuous improvement and innovation within the CX area. Required Experience / Skills Bachelor’s Degree in Business, Statistics, Mathematics, Economics, Accounting or Finance or a related field. 2+ years of experience in data analysis, reporting or business intelligence. Advanced proficiency in Microsoft Excel, Microsoft Access, SQL, SmartSheet, Microsoft Access, Microsoft Visio, Lucidchart and other data and process capture tools. Ability to work with large data sets and analyze complex data. Excellent communication and presentation skills. Strong attention to detail and accuracy. Experience with data visualization tools such as PowerBI and SSRS leading to advanced charts, graphs and other visual data expressions. Understanding of statistical analysis and modeling. Knowledge of database design and data warehousing principles. Ability to work independently and to self-prioritize workload, meet deadlines, and adjust to unforeseen circumstances requiring an expedited response. Ability to collaborate and interact between teams; along adapting to varying management styles and approaches. Ability to understand the core roles & responsibilities of each department; and how individual departments interact with other areas and how they can each impact the others’ processes. Demonstrated acumen for summarizing data and providing commentary at a variety of levels including executive summaries. Experience in a fast-paced, deadline-driven environment while demonstrating superior organizational and time management skills. Strong command of spoken and written English. Experience working in agile development environments including JIRA. Ability to prioritize and manage multiple concurrent projects. Preferred Experience / Skills Experience in the healthcare technology industry and/or call center operations. Experience in a client services, client support, client experience and/or call center environment. Experience with data visualization tool, Tableau. WORK ENVIRONMENT A standard work week exists but with the understanding that additional time/effort outside of the usual parameters can/will occur based upon the overall needs of the integration, where deadlines exist and when necessary due to the needs of the integration team. A standard business environment exists with moderate noise levels. Ability to sit for extended periods of time. Ability to work US east coast hours consistently preferred. Or ensure an adequate level of “overlap” time to properly promote collaboration and team cohesion. Demonstrate adherence to al Zelis’ workspace privacy guidelines and requirements. Other Embody Culture and Values Benefits/Perks The well-being of Zelis associates is essential: Industry leading Healthcare Caregiving benefits Family Forming & Reproductive Health Benefits And more! Access to Mental Well-being Resources Savings & Investments (401K) Paid Holidays and PTO Educational Resources Giving programs Opportunities to network and connect Discounts on products and services Zelis is modernizing the healthcare financial experience by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. Commitment to Diversity, Equity, Inclusion, and Belonging At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day. Equal Employment Opportunity Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities. Accessibility Support We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email TalentAcquisition@zelis.com. SCAM ALERT: There is an active nationwide employment scam which is now using Zelis to garner personal information or financial scams. This site is secure, and any applications made here are with our legitimate partner. If you’re contacted by a Zelis Recruiter, please ensure whomever is contacting you truly represents Zelis Healthcare. We will never asked for the exchange of any money or credit card details during the recruitment process. Please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Zelis. Show more Show less

Job Responsibilities Design and developing complex applications. An innovative, result-orientated individual, seeking challenges in order to utilize the knowledge and experience they have gained working across a number of clients. Development of real-time, multi-threaded application. Desired Skills and Experience Candidate Profile  5+ years of industry experience in software development using Java, Spring Boot and SQL.  Proficient in using Java 8 features such as lambda expressions, streams, and functional interfaces.  Experience with newer versions of Java and their enhancements.  Strong understanding and practical experience with various data structures (arrays, linked lists, stacks, queues, trees, graphs) and algorithms (sorting, searching, dynamic programming, etc.).  Experience in full software development lifecycle (SDLC) including requirements gathering, design, coding, testing, and deployment.  Familiar with Spring, Hibernate, Maven, Gradle, and other Java-related frameworks and tools.  Proficient in SQL and experience with databases like MySQL, PostgreSQL, or Oracle.  Experience working with technologies such as Kafka, MongoDB, Apache Spark/DataBricks, and Azure Cloud  Good experience of API/Microservices, Publisher/Subscriber and related data integration patterns  Having experience in Unit Testing with Junit or any other similar framework  Strong understanding of OOP and Design Patterns  Working with users, senior management and stake holders across multiple disciplines  Mentoring and developing technical colleagues.  Code management knowledge (e.g., version control, code branching & merging, continuous integration & delivery, build & deployment strategies, testing lifecycle)  Experience in managing stakeholder expectations (client and project team) and generating relevant reports.  Excellent project tracking and monitoring skills  Good decision making and problem-solving skills.  Adaptable, flexible and ability to prioritize and work in tight schedules.  Ability to manage pressure, ambiguity and change.  Good understanding of all knowledge areas in software development including requirement gathering, designing, development, testing, maintenance, quality control etc.  Preferred experience with Agile methodology and knowledge of Financial Services/Asset Management Industry  Ensure quality of deliverables within project timelines  Independently manage daily client communication, especially over calls  Drives the work towards completion with accuracy and timely deliverables.  Good to have Financial Services knowledge Key Responsibilities A candidate needs to interact with the global financial clients regularly and will be responsible for final delivery of work including:  Translate client requirements into actionable software solutions.  Understand the business requirements from the customers.  Direct and manage project development from beginning to end.  Effectively communicate project expectations to team members in a timely and clear manner  Communicate with relevant stakeholders on an ongoing basis.  Identify and manage project dependencies and critical path.  Guide the team to implement industry best practices.  Working as a part of a team developing new enhancement and revamping the existing trade limit persistence and pre trade risk check micro services (LMS) based on the clients own low latency framework.  Designing and developing the persistence cache layer which will use the MONGO persistence for storing  Design and development work for SMS integration to send out the 2FA code and for other business reasons  Migrating existing Couchbase DB based limit documents processing system to a new AMPS based processing micro service.  Design and implement the system from scratch & build enhancements, features request using Java and Springboot  Build prototype of application & solution as needed.  Involve in both development & maintenance of the systems.  Work collaboratively in a global setting, should be eager to learn new technologies.  Provide support for any implemented solutions including incident, problem, and defect management, and appropriately cross train other members so that they are able to support the solutions.  Responsible for extending and maintaining existing codebase with focus on quality, re-usability, maintainability and consistency  Independently troubleshoot difficult and complex issues on production and other environments  Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic.  Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT) Show more Show less

Job Title: Oracle Cloud ERP Testing Exp: 3 - 7 years Location: Bangalore/Pune Notice Period: 0 - 45 days Oracle ERP (prefer to have Invoice and Account Receivable) experience(Oracle Cloud ERP testing around AR (Account Receivable), Invoices, Debit Demo, Credit Demo, Revenue Recognition, GL posting/ period end, Integrations with Oracle etc.) Test scenarios and cases writing for the ERP application JIRA and Zephyr experience Ability to prepare JIRA dashboard and test reporting with graphs and charts in Excel or tools like PowerBI (we need it for test report preparation only) Good to have Oracle to SFDC integration testing experience. (its optional) Automation experience (OpKey/Selenium) optional This job is provided by Shine.com Show more Show less

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–5 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Location : Mohali, Punjab Show more Show less

Key Responsibilities * Project Coordination: Monitor and support educator-led programs across multiple campuses, ensuring timely delivery, quality execution, and measurable impact. * Community Engagement: Build and sustain a vibrant educator community through online forums, in-person interactions, WhatsApp groups, webinars, and feedback sessions. * Event Planning & Execution: Organize onboarding sessions, engagement activities, promotional events, and campus interactions to energize and expand the educator base. * Educator Support & Issue Resolution: Act as the first point of contact for educator concerns. Address issues proactively and coordinate with internal teams for resolution. * Impact Documentation: Maintain a rich portfolio of educator success stories, activities, and data-driven insights to highlight the value and growth of the community. * Data Handling: Use spreadsheets to track engagement metrics, analyze trends, and create simple visual reports (bar/line graphs, averages, etc.). * Cross-Functional Collaboration: Work closely with program, content, and marketing teams to align community goals with broader organizational initiatives. Required Qualifications & Skills * Bachelor's degree in any field (preferred: Education, Social Sciences, Communication, or Business). * 2-4 years of experience in community management, education programs, marketing, or customer support. * Strong communication skills – both written and spoken English. * Basic proficiency in Google Sheets/MS Excel and ability to interpret simple data sets. * Empathy, adaptability, and a willingness to learn in a fast-paced environment. * Self-driven with excellent organizational and time management skills. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities AI Implementation: Implement AI solutions to automate tasks, improve customer experiences, and optimize operations Data Analysis and Interpretation: Analyze large datasets to extract meaningful insights and trends using Python and data science techniques Model Development: Develop, train, and deploy machine learning models to solve business problems and enhance decision-making processes Data Collection and Cleaning: Data Analysts are responsible for gathering data from multiple sources, ensuring its accuracy and completeness. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information. Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets Analysis and Interpretation: One of the primary tasks of a Data Analyst is to analyse data to uncover trends, patterns, and correlations. They use statistical techniques and software such as R, SAS, and Tableau to conduct detailed analyses. The ability to interpret results and communicate findings clearly is crucial for guiding business decisions Reporting and Visualization: Data Analysts create comprehensive reports and visualizations to present data insights to stakeholders. These visualizations, often created using tools like Power BI and Tableau, make complex data more understandable and actionable. Analysts must be skilled in designing charts, graphs, and dashboards that effectively convey key information Collaboration and Communication: Effective collaboration with other departments, such as marketing, finance, and IT, is vital for understanding data needs and ensuring that analysis aligns with organizational goals. Data Analysts must communicate their findings clearly and concisely, often translating technical data into understandable insights for non-technical stakeholders Predictive Modelling and Forecasting: Advanced Data Analysts also engage in predictive modelling and forecasting, using machine learning algorithms and statistical methods to predict future trends and outcomes. This requires a solid understanding of data science principles and familiarity with tools like TensorFlow and Scikit-learn Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Undergraduate degree or equivalent experience Python Proficiency: Solid knowledge of Python programming, including libraries for data analysis (e.g., Pandas, NumPy) and machine learning (e.g., scikit-learn, TensorFlow, Keras) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Show more Show less